“ASR Status Report 2016-12-12”版本间的差异

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第18行: 第18行:
 
|Hang Luo
 
|Hang Luo
 
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* Compared mono-language model and bi-language model decode result.
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* Read paper of WFST.
 
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*  
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* Use different corpus or generate mix-lingual corpus to run experiments
 
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第32行: 第33行:
 
** spider   
 
** spider   
 
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* kazak lm
 
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第40行: 第41行:
 
|Yixiang Chen   
 
|Yixiang Chen   
 
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*   
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Complete the replay task experiment and report'''[delivery]'''
 
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learning tensorflow coding DNN and CNN net
 
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第49行: 第50行:
 
|Lantian Li   
 
|Lantian Li   
 
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* interim report done;
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* PPT for APSIPA16;
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* LRE challenge on AP16-OL7.
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* Deep speaker embedding restart!
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* Submit TRP-20160011 on Replay detection'''[delivery]'''.
 
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* Jeju for APSIPA16.
 
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2017年1月4日 (三) 08:17的最后版本

Date People Last Week This Week
2016.12.12


Yanqing Wang
  • read a paper about driving distraction detection task
  • show normal/distraction patterns of a driver with one class and two class SVM
Hang Luo
  • Compared mono-language model and bi-language model decode result.
  • Read paper of WFST.
  • Use different corpus or generate mix-lingual corpus to run experiments
Ying Shi
  • work from Chao Xing down
  • kazak lm
    • got some corpus from a student who study in Minzu University of China.But the corpus is short (about 10000) so the ppl is also poor.
    • spider
  • kazak lm
Yixiang Chen
  • Complete the replay task experiment and report[delivery]
  • learning tensorflow coding DNN and CNN net
Lantian Li
  • interim report done;
  • PPT for APSIPA16;
  • LRE challenge on AP16-OL7.
  • Deep speaker embedding restart!
  • Submit TRP-20160011 on Replay detection[delivery].
  • Jeju for APSIPA16.
Zhiyuan Tang
  • interim report done;
  • PPT for APSIPA16;
  • language mask[1]
  • Jeju for APSIPA16.

Date People Last Week This Week
2016.11.28


Yanqing Wang
  • finish building GUI of one-class-SVM in Visual Studio
  • learn about deep learning
  • process data with the GUI of one-class-SVM
Hang Luo
  • Experiments about fixed language model, find language information almost has no improve in ASR so far
  • share one paper
  • Experiments on smaller language model,128 cells still has great result
  • Try different language model or other direction
  • Paper about joint training
Ying Shi
  • some work about kazak LM
  • DNN for Chao Xing
  • ml-book check to cvs
  • share two papers
  • some work about kazak lm(try to reduce the ppl)
  • paper about activation function
  • DNN for Chao Xing
Yixiang Chen
  • According to the weighted filter replay test
  • fitting warping function and use piecewise function for warping
  • complete replay test
  • learning tensorfloat
Lantian Li
  • LRE on AP16-OL7. [2]
    • The deep model still can not beat the i-vector model.
  • Emotion challenge in CCPR. --> Done.
  • Replay detection. --> Done.
  • Phd forum. --> Done
  • LRE task.
  • Write replay detection technical report.
  • oral PPT for APSIPA 2016.
Zhiyuan Tang
  • materials for PhD Dissertations,
  • materials for paper accepted by TASLP;
  • language mask[3]
  • scans the TASLP paper for several times,
  • oral PPT for APSIPA 2016.